Data at work

Abstract

Core) assists researchers university-wide in computational structural biology techniques and incorporating structural biology/bioinformatics into their grants and publications. The SBI Core works with a diverse population of researchers from numerous departments and provides support to an ever-changing body of research. The computational biology services provided by the SBI Core are data-intensive and use a diverse and distributed set of applications for processing, data storage, and data management.As the amount of data and number of projects have increased, the SBI Core requires an effective strategy for managing data and facilitating data sharing between the SBI Core and the researchers it assists. The UNC-CH Health Sciences Library (HSL) has begun a collaborative project with the SBI Core to identify the crucial data management needs and to envision new roles for the library in e-science and data management. In partnership, the SBI Core and the HSL have identified major obstacles in data sharing, data management, and data access.Furthermore, the SBI Core and the HSL will develop solutions in which the library facilitates collaboration among campus resources and matches unmet needs to external resources. One of the library's goals in this proof-of-concept project with the SBI Core is to become a central campus resource for research support and data management.

Social scientists' data reuse behaviors: Exploring the roles of attitudinal beliefs, attitudes, norms, and data repositories

“…Data reusers often search for additional information when documentation is insufficient, consulting various sources, including data producers and experts (Birnholtz & Bietz, 2003;Bishop, 2009;Faniel et al, 2013;Markus, 2001;McCall & Appelbaum, 1991). Yoon (2017) found that social science data reusers also sought external help from data reuser groups, repository staff, and data producers when they encountered problems.…”

“…Not many data reuse studies have examined the impact of disciplinary norms on data reuse, but previous studies that focused on a specific discipline or across different disciplines suggested that reuse practices were varied and discipline-specific (e.g., Birnholtz & Bietz, 2003;Carlson & Anderson, 2007;Faniel et al, 2013;Rolland & Lee, 2013). This may imply that the norm in a discipline would influence reuse behaviors.…”

Documentation evaluation model for social science data

“…Some tacit knowledge is difficult to articulate and therefore cannot be documented. When undocumentable tacit knowledge is important for secondary data analysis, documentation is inherently insufficient (Birnholtz and Bietz, 2000). In this case, improving the sufficiency of documentation would be very hard, the cost of which may overtake the cost for users seeking other channels for information.…”

“…When documentation does not provide enough information about the data, users need to seek more information about the data from other channels. Getting more information from data producers by email, telephone, personal visiting or even by working together with data producers were reported as helpful (Birnholtz and Bietz, 2000; McCall and Applebaum, 1991; Zimmerman, 2003). Assistance from data producers, however, is considered as hard to get.…”

Identifying the business model dimensions of data sharing: A value‐based approach

“…Data sharing usually involves the collection and analysis of data across multiple individuals, institutions, and research sites. Sharing data in these cases becomes more than just the exchange of final data sets, as it involves the establishment of complex information and communication infrastructures, as well as organizational issues for managing such collaborations (Birnholtz & Bietz, ).…”